Feiyan Wang
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Platelet Disorders and Treatments
- Blood groups and transfusion
Papers in
- Hematology 12
- Hematopoietic Stem Cell Transplantation 11
- Acute Myeloid Leukemia Research 3
- Blood groups and transfusion 2
- Genetics 5
- Mesenchymal stem cell research 4
- Co-authors
- Lixun Guan (16 shared papers)Li Wang (11 shared papers)Zhenyang Gu (11 shared papers)Shasha Zhao (12 shared papers)Lan Luo (10 shared papers)Chunji Gao (13 shared papers)Huaping Wei (7 shared papers)Dai‐Hong Liu (8 shared papers)
- Journals
- Oncotarget (3 papers)Stem Cell Research & Therapy (1 paper)Polymer Testing (1 paper)BMC Immunology (1 paper)Stem Cells and Development (1 paper)
- Partner nations
- ChinaPhilippinesUnited States
In The Last Decade
Feiyan Wang
25 papers receiving 408 citations
Peers
Comparison fields: 5 of 58
- Genetics 124
- Hematology 126
- Cancer Research 63
- Immunology 67
- Rheumatology 36
Countries citing papers authored by Feiyan Wang
This map shows the geographic impact of Feiyan Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Feiyan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiyan Wang more than expected).
Fields of papers citing papers by Feiyan Wang
This network shows the impact of papers produced by Feiyan Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Feiyan Wang. The network helps show where Feiyan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feiyan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 125 | |
| 2 | 2015 | 51 | |
| 3 | 2016 | 49 | |
| 4 | 2018 | 32 | |
| 5 | 2017 | 31 | |
| 6 | 2021 | 19 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2017 | 11 | |
| 10 | 2016 | 11 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2018 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2017 | 3 |
About Feiyan Wang
Feiyan Wang is a scholar working on Hematology, Genetics, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 412 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Lymphoma Diagnosis and Treatment (4 papers), Mesenchymal stem cell research (4 papers), Acute Myeloid Leukemia Research (3 papers), Blood groups and transfusion (2 papers), Immune Cell Function and Interaction (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Oral health in cancer treatment (2 papers). The work is most often cited by research in Genetics (124 citations), Hematology (126 citations), Cancer Research (63 citations), Immunology (67 citations) and Rheumatology (36 citations). Feiyan Wang has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Lixun Guan, Li Wang, Zhenyang Gu, Shasha Zhao, Lan Luo, Chunji Gao, Huaping Wei, Dai‐Hong Liu, Chunji Gao and Zhe Gao. Their work appears in journals such as Oncotarget, Stem Cell Research & Therapy, Polymer Testing, BMC Immunology and Stem Cells and Development.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.